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KaustubhandFabio Natanael Kepler
d353e07c48
## Summary The CombinedKnowledgeBase is missing the implementation for the `async_document_lists` method. Plus, the abstract method is not marked as `async`. ## Type of change - [x] Bug fix - [ ] New feature - [ ] Breaking change - [ ] Improvement - [ ] Model update - [ ] Other: --- ## Checklist - [ ] Code complies with style guidelines - [ ] Ran format/validation scripts (`./scripts/format.sh` and `./scripts/validate.sh`) - [ ] Self-review completed - [ ] Documentation updated (comments, docstrings) - [x] Examples and guides: Relevant cookbook examples have been included or updated (if applicable) - [ ] Tested in clean environment - [ ] Tests added/updated (if applicable) --------- Co-authored-by: Fabio Natanael Kepler <[email protected]>
81 lines
1.9 KiB
Python
81 lines
1.9 KiB
Python
import asyncio
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from pathlib import Path
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from agno.agent import Agent
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from agno.knowledge.combined import CombinedKnowledgeBase
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from agno.knowledge.csv import CSVKnowledgeBase
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from agno.knowledge.pdf import PDFKnowledgeBase
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from agno.knowledge.pdf_url import PDFUrlKnowledgeBase
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from agno.knowledge.website import WebsiteKnowledgeBase
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from agno.vectordb.pgvector import PgVector
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db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
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# Create CSV knowledge base
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csv_kb = CSVKnowledgeBase(
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path=Path("data/csvs"),
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vector_db=PgVector(
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table_name="csv_documents",
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db_url=db_url,
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),
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)
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# Create PDF URL knowledge base
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pdf_url_kb = PDFUrlKnowledgeBase(
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urls=["https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"],
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vector_db=PgVector(
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table_name="pdf_documents",
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db_url=db_url,
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),
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)
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# Create Website knowledge base
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website_kb = WebsiteKnowledgeBase(
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urls=["https://docs.agno.com/introduction"],
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max_links=10,
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vector_db=PgVector(
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table_name="website_documents",
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db_url=db_url,
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),
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)
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# Create Local PDF knowledge base
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local_pdf_kb = PDFKnowledgeBase(
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path="data/pdfs",
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vector_db=PgVector(
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table_name="pdf_documents",
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db_url=db_url,
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),
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)
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# Combine knowledge bases
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knowledge_base = CombinedKnowledgeBase(
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sources=[
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csv_kb,
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pdf_url_kb,
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website_kb,
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local_pdf_kb,
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],
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vector_db=PgVector(
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table_name="combined_documents",
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db_url=db_url,
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),
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)
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# Initialize the Agent with the combined knowledge base
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agent = Agent(
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knowledge=knowledge_base,
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search_knowledge=True,
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)
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if __name__ == "__main__":
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# Comment out after first run
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asyncio.run(knowledge_base.aload(recreate=False))
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# Create and use the agent
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asyncio.run(
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agent.aprint_response(
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"Ask me about something from the knowledge base", markdown=True
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)
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)
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